Autonomous Exposure Remediation

The fix authored.
The fix executed.

Most tools stop at the ticket. Kai writes the specific change with its sequencing and prerequisites, checks its impact, and and deploys it inside a boundary you define.
One plan
Written once, centrally, instead of once per receiving team per ticket
Inside your boundary
You decide where Kai may act, and the boundary is enforced rather than advisory
Rollback recorded
For every change, alongside the evidence that justified it
The problem

Every handoff keeps exposures open longer

Patch orchestration was solved years ago, provided somebody hands it a plan. The plan is still written by a person, so the finding goes out as a ticket to a team that rebuilds it from scratch, in a window it has to find, for an asset it may not own.

16%

of organizations close a critical vulnerability within three days of identifying it.

Source: Kai, 2026 State of Autonomous Defense report. Wakefield Research survey of 500 security leaders at $500M+ organizations, June 2026.

WITH KAI

Fixes that your team can approve, not tickets it has to decode

Kai turns each validated exposure into the specific change and routes it to the accountable owner, inside the boundary you set.

The specific fix per asset: target version, ordering, prerequisites and rollback path

Predictive impact analysis before any fix runs

Exposures close without adding headcount

Staged with the owner named, so nobody rebuilds the plan

IT approves a staged change on evidence, with a rollback path attached

Your orchestrator and ticketing stay in place

HOW KAI DELIVERS

Your engineers stop rebuilding the plan for every fix

Most of a vulnerability’s dwell time is spent turning a finding into a change someone can own, schedule and defend. Kai does that work in four stages.

1

Validate
Each change starts from an exposure proven exploitable on this asset.
Agentic exploitation
Exploit validation
Attack paths

2

Author
The specific fix per asset: target version, ordering, prerequisites, blast radius and rollback.
Fix generation
Impact prediction
Workflow fit

3

Check impact
Predictive analysis against the dependency graph before anything runs.
SAST triage
Reachability
Calibrated confidence

4

Stage for approval
The change is staged for the named owner to approve, with a rollback path.
Guardrail testing
Agent red teaming
Model supply chain
Today
Human-led

7+ days
4 hand-offs

Triage and prioritize

1 to 2 days

Find the owner

2 to 3 days of tickets

Write the change

1 day

Approve

1 to 2 days

Change window

scheduled

Verify

next scan cycle

Day 1
Day 2
Day 3
Day 4
Day 5
Day 6
Day 7
with kai
Autonomous

Minutes
1 hand-off

Plan, check, pre-stage

minutes, inside your boundary

Detection written for the exposure while the change waits
Change window

the same window

Verified

next scan read

4 to 1
Hand-offs between teams
The change moves once: from Kai into the owner's window.
Days to minutes
Before the window
Triage, ownership, the written change and approval all collapse into minutes.
Minute one
Coverage while you wait
Detection and mitigation are live before anyone opens a ticket.
Three steps, one system
Kai writes the plan
Per asset: target version, order, prerequisites, rollback. Ranked by chaining, CISA KEV and reachability, grouped for the window.
Detection for the exposure
Detection rules written and validated for the SIEM or EDR you already run, scoped to the open exposure while the change is scheduled.
The change is delivered
Owner resolved from evidence. Ticket carries the plan. Pre-staged into ServiceNow, Jira, Tanium, Ansible or Intune for the window IT already has.

Human-led durations are illustrative. Survey figure: 60% of CISOs report more than seven days to remediate a critical vulnerability (Kai 2026 State of Autonomous Defense report).

Before & After

From a ticket to decode to a change to approve

Before Kai
Close icon

A ticket that says patch this

Close icon

The plan rebuilt by every receiving team

Close icon

Change windows found by hand

Close icon

Weeks between a finding and a fix

With KAI

A change ready to approve

Planned once, centrally, with the owner named

Impact known before approval

A rollback path and evidence on every change

Guardrails

Approve with confidence, because every change carries its proof

Humans set the boundary
You decide which environments, asset classes and change types Kai may touch, enforced in deterministic code.
Agentic exploitation
Exploit validation
Attack paths
Checked before it runs
Impact analysis runs against the dependency graph. Where Kai cannot show a change is safe, it stages it.
Fix generation
Impact prediction
Workflow fit
Rollback path by default
Every action has a rollback path defined before it runs, not improvised afterwards.
SAST triage
Reachability
Calibrated confidence
A complete audit trail
The record shows what changed, on what evidence, under which policy, and who could have stopped it.
Guardrail testing
Agent red teaming
Model supply chain
Validated Finding
Exploitable on this asset

Owner resolved before assignment. Nothing is authored speculatively.

Arrow right
Change Authored
The specific fix, per asset

Target version, ordering, prerequisites. Rollback path and blast radius labeled.

Your Action Boundary

set per environment, asset class and change type

Inside
Auto run

The change lands in the first window. A full audit trail is recorded with the rollback path and the evidence that justified it.

Outside
Staged, owner named

Nothing moves. The change is staged in the system the team already works in, and approval stays with a person.

Enforced, not advisory. Widen it at your own pace.

When the patch is blocked
The change stays staged, not lost

A maintenance window, a vendor dependency or a freeze blocks the fix. Kai keeps the change staged with its owner and window, and a detection can be written for the exposure in the meantime.

Frequently asked questions

Does Kai patch production systems by itself?

Yes, inside a boundary you set by environment, asset class and change type. Kai authors the change, runs it through the tooling you already use and records the rollback path and the evidence that justified it. Outside that boundary, the change is staged for the accountable owner to approve.

What does authoring the change actually mean?

Kai writes the specific fix per asset: target version, ordering, prerequisites, blast radius and rollback path. The receiving team gets a change to approve rather than a ticket to interpret, so nobody rebuilds the plan from scratch.

What happens when a patch is blocked?

Kai keeps the change staged with its owner and its window, so nobody rebuilds the plan when the window opens. In the meantime, Kai selects compensating controls for the exposure, and Detection Intelligence writes a rule for it in the SIEM or EDR you already run.

Does Kai replace our orchestrator or ticketing?

No. Kai replaces the human step in front of the orchestrator, not the orchestrator. Changes arrive as pull requests or tickets in the workflows your engineers already use, and your orchestrator still pushes them.

How do we audit what Kai did?

Every change carries what changed, when, under whose authority, the evidence behind it and its rollback path. Every finding removed from the queue carries a written reason.

Autonomous Exposure Remediation

Pick a finding. We will write the change.

Give us one open critical in your environment. We will come back with the specific fix, its sequencing and prerequisites, the owner it routes to, and the maintenance window it fits.